In their recent publication, @MadronaVentures mentions, "Companies can use training infrastructure from Cerebras …to train those models at scale", while also listing Cerebras as a provider of AI-specialized silicon. Read their full analysis here: https://
madrona.com/foundation-mod
els/?utm_source=Foundation+Model+Share+Link
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@cerebras
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Cerebras Training Infrastructure for AI Model Scale
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CEO Receives Energy Secretary Award for AI Innovation Leadership
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Our CEO @andrewdfeldman is a recipient of an Achievement Award from the U.S. Secretary of Energy for his work on the “Driving U.S. Competitiveness and Innovations” team to develop and nurture public-private collaborations that will accelerate emergent technologies, including #AI
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Cerebras Wafer-Scale Cluster Enables Fast LLM Training
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Large language models are in the news these days! This is a friendly reminder that training these multi-billion parameter models remains fast and easy with the Cerebras Wafer-Scale Cluster. Check out our guide here: https://
hubs.li/Q01z6FWw0 #AI #NLP #deeplearning -
Cerebras: New Architecture for Large-Scale Machine Learning
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In their recent article, @BainCapVC mentions Cerebras as a "new architecture… that [is] fundamentally better suited for large-scale machine learning" Read their full article here:
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Cerebras CSL Graph500 BFS Algorithm Research Presentation
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Cerebras is starting the year off with a guest presentation! @simula_research
's Luk Burchard will be sharing research on the Graph500 BFS algorithm that was ported over to the Cerebras Software Language (CSL). Register for this community session here: https://
us02web.zoom.us/webinar/regist
er/WN_s23U5O64T5K9H8h0LhnFJg
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Cerebras Wafer-Scale Engine: 850K cores, 40GB SRAM distributed
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Some #wafer-scale eye candy When performance is everything, the best #memory hierarchy is no memory hierarchy at all! The Cerebras Wafer-Scale Engine has 40GB of #sram evenly distributed across 850,000 cores for a staggering total of 2.6 trillion #transistors. Thanks, #tsmc!
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Generative AI Investment Surge Drives Data Center Hardware Innovation
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Data Center Frontier mentions that "Surging interest in generative AI will lead to fresh investment…[creating] opportunities for… offerings optimized around new processors (like CirraScale’s collaboration with Cerebras)." Article:
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Cerebras Launches AI Model Studio for Transformer Training
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ICYMI, Cerebras launched the AI Model Studio, a cloud-based pay-by-the-model computing service that makes training large transformer models fast, easy, and affordable. Read more in this Forbes article: https://
hubs.li/Q01xxQDx0 Sign up for a free trial: https://
hubs.li/Q01xxX3x0 -
Leibniz Centre Highlights CS-2 Supercomputer for ML Workflows
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Leibniz Supercomputing Centre discusses the CS-2, stating that "[the CS-2] brings not only computing power, but also very high storage and interconnect bandwidths… [enabling] machine learning workflows [to] run more efficiently." Read here: https://
hubs.li/Q01x5Wm40 -
Green AI Partnership Enables Sustainable Generative Model Training
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ICYMI, Cloud Computing wrote about our Green AI partnership. "Green AI is offering the CS-2 system [so] customers [can] train generative transformer-class models… [promising] equivalent carbon offsets through Green AI’s 'carbon-intelligent' cloud."